Heuristics for Cost-Optimal Classical Planning Based on Linear Programming

Pommerening, Florian (Universitat Basel) | Roger, Gabriele (Universitat Basel) | Helmert, Malte (Universitat Basel) | Bonet, Blai (Universidad Simon Bolivar)

AAAI Conferences 

This model is used to automatically synthetise a controller that maps executions to the next action to perform. Many heuristics for cost-optimal planning are The problem is thus cast as a synthesis problem from a based on linear programming. We cover several given specification. Two obstacles for this approach are that interesting heuristics of this type by a common a suitable model for the task is needed, and that the synthesis framework that fixes the objective function of the problem is intractable in general. But, this intractability does linear program. Within the framework, constraints not preclude the approach from being effective in meaningful from different heuristics can be combined in one cases. Planning is the model-based approach to autonomous heuristic estimate which dominates the maximum behaviour.

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